The papers [1]}, [2]}, [3]}, [4]}, [5]}, [6]} consider the expected effects of intervening on the treatment of a single unit, assuming the treatment of all other units to be randomized according to the experiment design. Estimands of this type (sometimes termed the EATE) have been defined for direct and indirect effects, for spatial-temporal settings [6]}, and also generalized to intervensions on a unit's exposure under a misspecified exposure model [3]}. For this class of estimands, unbiased point estimation requires no assumptions beyond randomization; however, variance estimates and valid confidence intervals require assumptions on interference, although not on its exact structure. For example, [3]} requires a bandwidth parameter to be chosen according to the strength of the assumed interference, while [2]} proposes variance inflation factors based on the degrees of the underlying dependency graph.
